Donald S. Young

855 citations
49 papers · 619 indexed · h-index 13
Topics
Clinical Laboratory Practices and Quality Control (16 papers)Healthcare Policy and Management (5 papers)Meta-analysis and systematic reviews (4 papers)

In The Last Decade

Donald S. Young

44 papers receiving 556 citations

Peers

Donald S. Young
Comparison fields: 5 of 127
  • Physiology 142
  • Molecular Biology 128
  • Surgery 63
  • Statistics, Probability and Uncertainty 61
  • Public Health, Environmental and Occupational Health 59
Replace Annalise E. Zemlin with:
Annalise E. Zemlin South Africa
Shahram Shahangian United States
Rodney W Forsman United States
David L. Witte United States
George S. Cembrowski Canada
I. D. P. Wootton United Kingdom
Patricia L. Barry United States
Amit Pahwa United States
Bhawna Singh India
Mario Werner United States
Donald S. Young relative to Annalise E. Zemlin South Africa Annalise E. Zemlin's profile →
Citations per field
00.5×1.5×
Annalise E. Zemlin · 1×
Citations per year

Countries citing papers authored by Donald S. Young

Since Specialization
Citations

This map shows the geographic impact of Donald S. Young's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Donald S. Young with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Donald S. Young more than expected).

Fields of papers citing papers by Donald S. Young

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Donald S. Young. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Donald S. Young. The network helps show where Donald S. Young may publish in the future.

Co-authorship network of co-authors of Donald S. Young

This figure shows the co-authorship network connecting the top 25 collaborators of Donald S. Young. A scholar is included among the top collaborators of Donald S. Young based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Donald S. Young. Donald S. Young is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 54
2 24
3 30
4 31
5 3
6
Evolution of the William Pepper Laboratory.
5
7 5
8 21
9 2
10 1
11 14
12 1
13 4
14 3
15 0
16 15
17 2
18 1
19 2
20 8

About Donald S. Young

Donald S. Young is a scholar working on Physiology, Statistics, Probability and Uncertainty and Biochemistry, having authored 49 papers that have together received 619 indexed citations. Recurring topics across this work include Clinical Laboratory Practices and Quality Control (16 papers), Healthcare Policy and Management (5 papers) and Meta-analysis and systematic reviews (4 papers). The work is most often cited by research in Family Practice (20 citations), Statistics, Probability and Uncertainty (61 citations) and Medical Laboratory Technology (13 citations). Donald S. Young has collaborated with scholars based in United States, Belgium and Denmark. Frequent co-authors include John I. Peterson, Bruce S. Sachais, Leigh C. Jefferies, Jorge L. Sepulveda, Erik Magid, David E. Bruns, Edward J. Huth, Russell P. Tracy, Robert A. Kyle and Donald T. Forman. Their work appears in journals such as JAMA, Annals of Internal Medicine and Analytical Chemistry.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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